In this paper, a method based on support vector machine (SVM) is proposed to detect electricity stealing behavior of charging piles. By constructing a recognition model of electricity stealing behavior of charging pile, the purpose of …
The data collected by the charging pile mainly include the ambient temperature and humidity, GPS information of the location of the charging pile, charging voltage and current, user information, vehicle battery information, and driving conditions . The network layer is the Internet, the mobile Internet, and the Internet of Things.
The main function of the control device of the energy storage charging pile is to facilitate the user to charge the electric vehicle and to charge the energy storage battery as far as possible when the electricity price is at the valley period. In this section, the energy storage charging pile device is designed as a whole.
Design of Energy Storage Charging Pile Equipment The main function of the control device of the energy storage charging pile is to facilitate the user to charge the electric vehicle and to charge the energy storage battery as far as possible when the electricity price is at the valley period.
The simulation results of this paper show that: (1) Enough output power can be provided to meet the design and use requirements of the energy-storage charging pile; (2) the control guidance circuit can meet the requirements of the charging pile; (3) during the switching process of charging pile connection state, the voltage state changes smoothly.
With the continuous growth of electric vehicles, the electricity stealing behavior of charging pile is becoming more and more frequent. In order to protect the safety of power grid, effective monitoring should be made for electricity stealing behavior.
Due to the urgency of transaction processing of energy storage charging pile equipment, the processing time of the system should reach a millisecond level. 3.3. Overall Design of the System
In this paper, a method based on support vector machine (SVM) is proposed to detect electricity stealing behavior of charging piles. By constructing a recognition model of electricity stealing behavior of charging pile, the purpose of …
Table 1 Charging-pile energy-storage system equipment parameters Component name Device parameters Photovoltaic module (kW) 707.84 DC charging pile power (kW) 640 AC charging pile power (kW) 144 Lithium battery energy storage (kW·h) 6000 Energy conversion system PCS capacity (kW) 800 The system is connected to the user side through the inverter …
In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging, discharging, and storage; Multisim software is used to build an EV charging model in order to simulate the charge control guidance module. On this basis, combined with ...
Smart Photovoltaic Energy Storage and Charging Pile Energy Management Strategy Hao Song Mentougou District Municipal Appearance Service Center, Beijing, 102300, China Abstract Smart photovoltaic energy storage charging pile is a new type of energy management mode, which is of great significance to promoting the development of new energy, optimizing the energy …
In order to solve the problem of slow measuring speed, the image recognition technology is used to read the active electric energy of the charging pile. Combined with the filtering algorithm, the full-automatic and rapid verification of the charging pile can be realized, the work efficiency can be improved and the human error can be reduced.
By collecting power consumption information of the charging control unit of charging piles, the abnormal detection system determines whether charging piles are facing attacks or not. We have verified three kinds of attacks, proving that our anomaly detection system can effectively detect attacks and protect the security and stable operation of ...
The main controller coordinates and controls the charging process of the charging pile and the power supplement process when it is used as a mobile energy storage vehicle. The converter is the hub ...
Accurately estimating sensor inter-cluster data is necessary to achieve the scalability of online detection technology for charging piles. The results show that the disconnection time of the...
In this paper, the battery energy storage technology is applied to the traditional EV (electric vehicle) charging piles to build a new EV charging pile with integrated charging, discharging, and storage; Multisim software is used …
Therefore, a fault state detection method of DC charging pile based on the least fourth moment adaptive filtering algorithm is proposed. This method is based on the electrical structure of DC charging pile.
In this paper, a method based on support vector machine (SVM) is proposed to detect electricity stealing behavior of charging piles. By constructing a recognition model of electricity...
By collecting power consumption information of the charging control unit of charging piles, the abnormal detection system determines whether charging piles are facing attacks or not. We …
TL;DR: In this paper, a mobile energy storage charging pile and a control method consisting of the steps that when the mobile ESS charging pile charges a vehicle through an energy storage battery pack, whether the current state of charge of the ESS battery pack is smaller than a preset electric quantity threshold value or not is detected in real time; if the current status of the …
A fault detection method based on deep learning Convolutional Neural Networks and Long Short-Term Memory and the proposed CNN-LSTM method has the highest accuracy and exhibits …
PDF | On Jul 9, 2019, Xiaohui Li and others published Verification Scheme and System Design of Charging Pile Electric Energy Measurement | Find, read and cite all the research you need on ResearchGate
DOI: 10.1016/J.PROCS.2021.02.062 Corpus ID: 235090471; A SVM-based detection method for electricity stealing behavior of charging pile @article{Hong2021ASD, title={A SVM-based detection method for electricity stealing behavior of charging pile}, author={Huawei Hong and Yuquan Su and Peng Zheng and Nuo Cheng and Jinbo Zhang}, journal={Procedia Computer …
This study introduces an enhanced method for detecting the status of charging stations, utilizing a Random Forest-based approach. Charging station status detection is addressed as a binary …
The simulation results of this paper show that: (1) Enough output power can be provided to meet the design and use requirements of the energy-storage charging pile; (2) the control guidance...
This paper proposes an unsupervised abnormal power consumption mode detection, analyzes the characteristics of the electricity consumption behavior of the charging pile, and uses the principal component analysis method to reduce the dimension of the data, and detects whether there is electricity stealing behavior according to the abnormal electricity …
In order to solve the problem of slow measuring speed, the image recognition technology is used to read the active electric energy of the charging pile. Combined with the filtering algorithm, the …
Download Citation | A SVM-based detection method for electricity stealing behavior of charging pile | With the continuous growth of electric vehicles, the electricity stealing behavior of charging ...
Accurately estimating sensor inter-cluster data is necessary to achieve the scalability of online detection technology for charging piles. The results show that the disconnection time of the...
As shown in Fig. 1, a photovoltaic-energy storage-integrated charging station (PV-ES-I CS) is a novel component of renewable energy charging infrastructure that combines distributed PV, battery energy storage systems, and EV charging systems. The working principle of this new type of infrastructure is to utilize distributed PV generation devices to collect solar …
In this paper, a method based on support vector machine (SVM) is proposed to detect electricity stealing behavior of charging piles. By constructing a recognition model of …
Keywords: Charging pile energy storage system Electric car Power grid Demand side response 1 Background The share of renewable energy in power generation is rising, and the trend of energy systems is shifting from a highly centralized energy system to a decentralized and flexible energy system. The distributed household energy storage instrument and electric vehicles can provide …
A fault detection method based on deep learning Convolutional Neural Networks and Long Short-Term Memory and the proposed CNN-LSTM method has the highest accuracy and exhibits the best performance in the electric vehicle charging pile diagnosis.
This study introduces an enhanced method for detecting the status of charging stations, utilizing a Random Forest-based approach. Charging station status detection is addressed as a binary classification problem. We develop a model employing the Random Forest classification algorithm, which involves normalization and preprocessing of the data ...
Therefore, a fault state detection method of DC charging pile based on the least fourth moment adaptive filtering algorithm is proposed. This method is based on the electrical …
The simulation results of this paper show that: (1) Enough output power can be provided to meet the design and use requirements of the energy-storage charging pile; (2) the …
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